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. The successful candidate will have Proven knowledge of soil science, fire ecology, and reed ecology Proven knowledge of data analysis and programming (R applications or comparable programming languages
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in data analysis and programming (R-applications or comparable programming languages) using large datasets Determination and commitment to scientific excellence Willingness and ability to drive to
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Publications or basic experience in scientific work and research methods Basic skills in scientific programming Knowledge of academic processes and structures Experience abroad (research, study, or both
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skills in data analysis and programming (R-applications or comparable programming languages) using large datasets Determination and commitment to scientific excellence Willingness and ability to drive
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successful candidate will have Proven knowledge of soil science, fire ecology, and reed ecology Proven knowledge of data analysis and programming (R applications or comparable programming languages
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Vienna Doctoral School in Cognition, Behavior, and Neuroscience - Doctoral Positions (AUTUMN CALL 20
independently and as part of a team Publications or basic experience in scientific work and research methods Basic skills in scientific programming Knowledge of academic processes and structures
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completed before your start date, but you should realistically be able to complete it within three months after starting the position.)- Very good programming skills in Python, including relevant data
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Programming skills (C++, Python, etc.) are advantageous Independent and structured working style, strong communication and teamwork skills Passion for research and enthusiasm for unconventional solutions
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with programming digital interfaces for experimental instruments through Python, and knowledge of LateX • You have excellent command of written and spoken English What we offer: Inspiring working
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related quantitative field. A solid background in machine learning, statistics and/or mathematics. Strong programming skills in Python. Ideally, also proficiency in at least one major deep learning